How to Code a AI Trading bot (so you can make $$$)

Summary

In this course, we will learn how to backtest trading strategies using Python and the popular open-source library called Backtrader. We'll cover the basics of setting up a backtesting environment, creating custom indicators, implementing various trading strategies, and analyzing the results.

Highlights

• Understand the fundamentals of backtesting with Python and Backtrader

• Create custom indicators for your trading strategies

• Implement various trading strategies using Backtrader

• Analyze the performance of your strategies through various metrics

Chapters

1. Setting Up Your Backtesting Environment

   • Overview: Learn how to install and set up Backtrader for backtesting.

   • Topics Covered: Installing Backtrader, Setting up a new project, Creating a data feed.

   • Hands-On Activities: Set up a new Backtrader project and create a simple data feed.

   • Shorts:

     • Setting up the environment - Start: 0:30, End: 2:15

     • Installing Backtrader - Start: 2:15, End: 4:30

     • Creating a data feed - Start: 4:30, End: 6:15

2. Creating Custom Indicators

   • Overview: Learn how to create custom indicators for your trading strategies.

   • Topics Covered: Creating a new indicator, Defining the logic, Backtesting the indicator.

   • Hands-On Activities: Create a simple moving average (SMA) indicator.

   • Shorts:

     • Creating a custom indicator - Start: 6:45, End: 10:30

     • Defining the logic of an indicator - Start: 10:30, End: 12:45

     • Backtesting a custom indicator - Start: 12:45, End: 16:00

3. Implementing Trading Strategies

   • Overview: Learn how to implement various trading strategies using Backtrader.

   • Topics Covered: Creating a strategy class, Defining the logic, Backtesting the strategy.

   • Hands-On Activities: Implement a simple moving average crossover strategy.

   • Shorts:

     • Creating a trading strategy - Start: 16:00, End: 20:30

     • Defining the logic of a trading strategy - Start: 20:30, End: 24:00

     • Backtesting a trading strategy - Start: 24:00, End: 28:30

4. Analyzing the Results

   • Overview: Learn how to analyze the performance of your strategies through various metrics.

   • Topics Covered: Visualizing the results, Analyzing statistics, Interpreting the results.

   • Hands-On Activities: Analyze the performance of a simple moving average crossover strategy.

   • Shorts:

     • Visualizing the backtesting results - Start: 28:30, End: 31:45

     • Analyzing statistics of a strategy - Start: 31:45, End: 35:00

     • Interpreting the results - Start: 35:00, End: 38:30